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Remote Data Transformation Jobs (NOW HIRING)

Apex Informatics

Senior Data Engineer - AI/ML

$117.20K - $140.70K/yr

Title: Sr Data Engineer Remote Required Skills & Qualifications • Strong experience in data ... data transformation and modeling • Familiarity with AWS/GCP and distributed/event-driven ...

Fusion HCR

MuleSoft Integration Developer

Las Vegas, NV · Remote

$46 - $61/hr

Las Vegas Preferred, open to remote Type: 6-Month Contract Position Overview Fusion HCR is seeking ... Support data transformation, orchestration, and API lifecycle management * Troubleshoot and ...

Charter Global

ETL Developer

Manhattan, NY · Remote

$56.25 - $73.50/hr

Job Title ETL Developer Location Remote/WFH Duration 5 months+ contract Skills Informatica IDMC Developer with Cloud Data Integration Experience Specifically with data transformation and file ...

A.C. Coy

Enterprise Data Architect - Remote

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

Remote - must be available to work EST hours Job Type: Full Time / Contract Work Authorization: No ... A comprehensive understanding of data warehousing and data transformation (extract, transform, and ...

A.C. Coy

Enterprise Data Architect - Remote

Pittsburgh, PA · Remote

$62 - $79.50/hr

Location: Remote - must be available to work EST hours Job Type: Full Time / Contract Work ... A comprehensive understanding of data warehousing and data transformation (extract, transform, and ...

BridgePhase

Data Migration Specialist

Arlington, VA · On-site +1

$65 - $83.50/hr

... data mapping, transformation, scripting, and alignment with Drupal content models and data ... This is a remote position. In this position, you can expect to: * Design and execute data import ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113.30K - $136.10K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Guide Big Data Transformations: Implementation of comprehensive big data projects, including the ...

BridgePhase

Data Migration Specialist

Arlington, VA · Remote

$65.25 - $84/hr

... data mapping, transformation, scripting, and alignment with Drupal content models and data ... This is a remote position. In this position, you can expect to: * Design and execute data import ...

Pella Corporation

Associate Data Engineer

Urbandale, IA · On-site +1

$108.40K - $130.10K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Implement data transformations, validations, and quality checks within Databricks to ensure data is ...

Pella Corporation

Associate Data Engineer

Urbandale, IA · On-site +1

$108.40K - $130.10K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Implement data transformations, validations, and quality checks within Databricks to ensure data is ...

InstantServe LLC

Cerner Millennium CCL

$120/hr

529601699 Cerner Millennium CCL and Data Transformation Lead REMOTE $120/hr on C2C/1099 3 references Required Work Model: Remote within the United States Work Hours: Monday to Friday, 8 AM to 5 PM ...

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Remote Data Transformation information

What are the key skills and qualifications needed to thrive as a Remote Data Transformation Specialist, and why are they important?

A Remote Data Transformation Specialist needs strong analytical abilities, proficiency in data management, and a solid understanding of databases and data modeling, often supported by a degree in computer science, information systems, or related fields. Familiarity with ETL (Extract, Transform, Load) tools, SQL, and cloud-based data platforms like AWS or Azure is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving skills, attention to detail, and effective remote communication are vital soft skills for collaborating with distributed teams. These competencies ensure accurate, efficient data processing and integration, which are crucial for data-driven decision-making in modern organizations.

What are some common challenges faced in a remote data transformation role and how can they be addressed?

In a remote data transformation role, common challenges include managing large data sets across multiple platforms, ensuring data quality, and maintaining clear communication with distributed teams. Working remotely can make it harder to quickly clarify requirements or spot inconsistencies, so adopting strong documentation practices and regular check-ins are essential. Utilizing collaborative tools for version control, data sharing, and workflow management helps streamline processes and reduce errors. Proactively communicating progress and blockers with cross-functional teams ensures alignment and timely project delivery.

What is a Remote Data Transformation job?

A Remote Data Transformation job involves converting, cleaning, and organizing data from one format or structure to another, all while working from a remote location. Professionals in this role use various tools and programming languages, such as SQL, Python, or ETL platforms, to ensure data is accurate, consistent, and usable for analytics or business processes. They often collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality transformed datasets. This role is crucial for organizations that rely on data-driven decision-making and need to integrate information from multiple sources.

What is the difference between Remote Data Transformation vs Remote Data Analyst?

AspectRemote Data TransformationRemote Data Analyst
Primary RoleDesigning, developing, and implementing data transformation processesAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsSQL, ETL tools, data modeling, scripting languagesExcel, SQL, data visualization tools, statistical knowledge
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, analytics teams, reporting platforms
Industry UsageData engineering, software development, cloud servicesBusiness intelligence, marketing, finance

Remote Data Transformation specialists focus on creating and managing data pipelines and transforming raw data into usable formats. In contrast, Remote Data Analysts interpret data to generate insights and support strategic decisions. Both roles require strong technical skills, but their core responsibilities differ in focus and output.

More about Remote Data Transformation jobs
What cities are hiring for Remote Data Transformation jobs? Cities with the most Remote Data Transformation job openings:
What are the most commonly searched types of Data Transformation jobs? The most popular types of Data Transformation jobs are:
What states have the most Remote Data Transformation jobs? States with the most job openings for Remote Data Transformation jobs include:
What job categories do people searching Remote Data Transformation jobs look for? The top searched job categories for Remote Data Transformation jobs are:
Remote Data Transformation jobs near you
Infographic showing various Remote Data Transformation job openings in the United States as of May 2026, with employment types broken down into 59% Full Time, 6% Part Time, 2% Temporary, and 33% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.
Senior Data Engineer - AI/ML

Senior Data Engineer - AI/ML

Apex Informatics

Remote

$117.20K - $140.70K/yr

Other

Posted 14 days ago

Job description

Title: Sr Data Engineer
Remote
Job Description:
Required Skills & Qualifications
• Strong experience in data engineering, ETL (preferably Informatica), and data architecture
• Experience working with Salesforce platforms and data models
• Hands-on experience with Airflow and MuleSoft
• Strong SQL skills with Snowflake and other relational databases
• Experience writing complex Python modules for custom ETL workflows
• Expertise in building batch and real-time data pipelines
• Experience with dbt for data transformation and modeling
• Familiarity with AWS/GCP and distributed/event-driven architectures
• Strong understanding of data modeling, data warehousing, and big data processing
• Experience with data quality, monitoring, and pipeline orchestration frameworks
• Strong Python experience for AI application development
• Experience working with LLM APIs (OpenAI, Anthropic, Gemini) and prompt engineering beyond basic demos
• Experience with agentic frameworks: LangChain, LangGraph, CrewAI, AutoGen, or similar
• Familiarity with vector databases (Pinecone, Chroma, Milvus) and RAG pipelines
• Systems thinking: ability to decompose complex goals into sub-tasks and manage agentic behavior
Preferred Skills
• Experience with 3+ step workflow automation (e.g., autonomous research, DevOps automation, IT troubleshooting)
• Proficiency in Model Context Protocol (MCP) integrations
• Experience with multi-agent systems and multi-modal agents (processing images, documents)
• Experience working on Salesforce Flows and Apex

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